Kwiki Case Study – Multi-App Food Delivery Solution

Kwiki

Food Delivery Platform

See it live!

About Kwiki

A First-Time Founder with a Bold Vision

Our client came to us with a clear goal: launch a food delivery app like UberEats in Mexico—quickly and affordably. They weren’t a tech company. They had no in-house development team. But they had the right idea and a deadline.

Kwiki Logo

The Problem

Speed. Cost. Product-Market Fit.

The client came to us with a clear challenge—they needed to launch a feature-rich food delivery platform in Mexico without the delays or costs typically associated with custom development. They wanted something that felt personalized, yet didn’t require building from scratch. The platform had to include web and mobile apps, along with dedicated admin panels for restaurants and the platform owner. Crucially, it had to support the Spanish language and be optimized for the Mexican delivery ecosystem. And perhaps the biggest ask—they wanted it all live in under one week.

problem statement

The Oyelabs Solution

We didn’t sell the code. We delivered a business launchpad. Here’s what we shipped, all within 7 days:

  • A branded Web Landing Page for marketing
  • A complete Web App for online orders
  • User Mobile Apps (Android & iOS)
  • Restaurant Mobile Apps for partners
  • A real-time Delivery Agent App
  • Restaurant Panel to manage orders & menus
  • Platform Owner Dashboard with full control
Kwiki Logo

What Made It Work

mobile app mastery

Proven Architecture, Zero Delay

By leveraging our production-ready UberEats Clone—used in multiple global launches—we delivered a fully integrated, branded food delivery ecosystem in just 7 days. No MVPs. No phased rollouts. Just a battle-tested framework, customized and deployed without friction.
web app expansion

High-Performance Platform at Startup Cost

The client gained a high-end user experience without enterprise pricing. Our optimized development pipeline allowed them to launch a scalable, stable, and visually refined product—at a fraction of traditional development costs—making it ideal for testing product-market fit in a new region.
Content Enrichment

Flawless Language Localization from Day 1

Our team delivered native Spanish localization integrated at the system level—not just superficial text translation. Every user-facing module, from order flows to notifications, was culturally and linguistically optimized for the Mexican market.
data driven optimization

Precision-Coded for Regional Delivery

Built with zone-based ordering logic, the platform intelligently mapped out serviceable areas to reduce delivery times and operational errors. It wasn’t just delivery—it was region-aware fulfillment, crucial for operating efficiently in Mexico’s urban and semi-urban areas.

Technologies Utilized

Fall in veteran (Facebook clone) tech stack

Here’s How It Looks Today

Walking The Extra Mile Together

The client opted for our Annual Maintenance Plan, ensuring ongoing performance, security, and feature readiness. With continuous support and system monitoring in place, they moved forward confidently—knowing their platform would stay stable, scalable, and updated without needing in-house tech resources.

The Transformative Outcomes

In just 7 days, the client launched a fully localized food delivery platform tailored for Mexico—powered by a scalable backend, real-time tracking, and multilingual UX. Backed by a 99.9% uptime guarantee and enterprise-grade architecture, the platform delivered seamless performance from day one. With zero security issues and high user adoption in the first month, the launch proved both technically sound and market-ready. OyeLabs helped turn a time-sensitive vision into a reliable, revenue-generating food delivery business.

Transformative outcomes
“My experience with Oyelabs was extremely streamlined, easy, and really helpful. The team was always available, responded quickly, and considered my feedback. They helped me see aspects I hadn’t thought of before. The final product exceeded my expectations—very neatly done. I’d refer Oyelabs to anybody and would love to work with them again. Go Oyelabs!”

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